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blog.dato.com

Company blog · blog.dato.comdataprogramming

blog.dato.com is the company blog at blog.dato.com, writing about data and programming. Since 2015, 14 different Hacker News readers have linked it 19 times, most often “Parallel Machine Learning with Hogwild”. No feed was found, so read it on the site itself.

19mentions?
14HN people?
2015–2016first – last linked?
Links on Hacker News per year · peak 15 in 2015

Too few sampled comments (3) to say how often HN recommends it.?

Why HN links it

HN readers link Dato's blog for technical write-ups, such as an explanation of the architecture of SFrame, a disk-backed columnar data frame, and for project updates.

Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. Parallel Machine Learning with Hogwild
    2 people · 2 mentions · first linked 2015-05-06

What Hacker News says?

  1. Dato targets MS-DOS as the next Big Data platform, processes terabytes of data in 640KB of RAM http://blog.dato.com/dato-on-ms-dos

    Comment linking /dato-on-ms-dos

    on “List of April Fools' Day Announcements”
  2. Submitted Dato open sources SFrame – a disk-backed, compressed columnnar data frame as a story · 93 points

    HN discussion
  3. haijieg · 2016-02-16Recommends
    For those who are interested in the technical details, this blog post by Yucheng Low explains the architecture of SFrame very well: http://blog.dato.com/data-processing-architecture-of-graphla...

    Comment linking /data-processing-architecture-of-graphlab-create

    on “Dato open sources SFrame – a disk-backed, compressed columnnar data frame”
  4. Submitted How to Evaluate Machine Learning Models: Hyperparameter Tuning as a story · 57 points

    HN discussion
  5. Hopefully soon: http://blog.dato.com/state-of-the-sframe-2016

    Comment linking /state-of-the-sframe-2016

    on “Dato open sources SFrame – a disk-backed, compressed columnnar data frame”
  6. Submitted Deep Learning Made Doubly Easy with GraphLab Create as a story · 15 points

    HN discussion
  7. Submitted Parallel Machine Learning with Hogwild as a story · 11 points

    HN discussion
  8. Submitted Building a Python package for out-of-core LibFFM (a Kaggle-winning algorithm) as a story · 8 points

    HN discussion
  9. Submitted An Introduction to Distributed Machine Learning as a story · 5 points

    HN discussion
  10. Submitted Autotagging Hacker News as a story · 5 points

    HN discussion
  11. Submitted Practical deep text learning on blogs as a story · 5 points

    HN discussion
  12. Submitted Best Movies with Big Data and Machine Learning as a story · 4 points

    HN discussion
  13. Submitted A hyperparameter search tool for data science as a story · 4 points

    HN discussion
  14. Submitted Machine Learning in Tableau with Python with Dato as a story · 2 points

    HN discussion
  15. Submitted The Best TED Talks on Machine Learning as a story · 2 points

    HN discussion
  16. Submitted Parallel Machine Learning with Hogwild as a story · 2 points

    HN discussion
  17. Submitted Parallel Machine Learning with Hogwild as a story · 1 points

    HN discussion
  18. Submitted Becoming a Full-Stack Statistician in 6 easy steps as a story · 1 points

    HN discussion
  19. Submitted The Challenges of Building the Next-Gen Machine Learning Platform as a story · 1 points

    HN discussion

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